ZipRecruiter

Log In

1

Azure Databricks Jobs in North Carolina (NOW HIRING)

Delan Associates, Inc

Sr. Workday Financial Analyst

Cary, NC · On-site

$79K - $98K/yr

Finance Integrations / Azure Databricks * Testing Unit, E2E, UAT & Cutover * Post-Go-Live / Hypercare Support * Stakeholder Management CFO / Controller / Finance * Agile/Scrum, Project Management ...

Delan Associates, Inc.

Sr. Workday Financial Analyst

Cary, NC · On-site

$79K - $98K/yr

Finance Integrations / Azure Databricks * Testing - Unit, E2E, UAT & Cutover * Post-Go-Live / Hypercare Support * Stakeholder Management - CFO / Controller / Finance * Agile/Scrum, Project Management ...

Amicis Global

Data Engineer

Charlotte, NC · On-site

$50 - $70/hr

Azure Functions * Well-versed with Azure Databricks * Strong SQL skills with RDMS or NoSQL databases * Experience with developing API's using FastAPI or similar frameworks in Python * Familiarity ...

previous pagenext page

Showing results 21-40

All JobsAzure Databricks JobsAzure Databricks Jobs in North Carolina

Azure Databricks information

See North Carolina salary details

$10

$53

$72

How much do azure databricks jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for azure databricks in North Carolina is $53.08, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $59.66 per hour, depending on experience, location, and employer.

What is an Azure Databricks?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What does an Azure Databricks do?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What are the key skills and qualifications needed for an Azure Databricks?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

Are Azure Databricks in high demand?

Azure Databricks professionals are in high demand due to the increasing adoption of cloud-based data analytics and machine learning solutions. Skills in Spark, Python, and cloud environments enhance job prospects, with many organizations seeking expertise in managing large-scale data workflows on Azure. The role often requires familiarity with data engineering, data science, and cloud certifications.

Is Azure Databricks difficult to learn?

Azure Databricks is a cloud-based data analytics platform that combines Apache Spark with Azure services, and learning it involves understanding Spark concepts, data engineering, and cloud environment management. While it has a learning curve for beginners, familiarity with programming languages like Python or Scala and basic data processing skills can facilitate the learning process.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is the salary of an Azure Databricks engineer?

The salary of an Azure Databricks engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Professionals with strong skills in Spark, cloud computing, and data engineering can expect higher compensation. Salaries may also vary based on company size and industry demand.

What are the most commonly searched types of Azure Databricks jobs in North Carolina?

The most popular types of Azure Databricks jobs in North Carolina are:

What are popular job titles related to Azure Databricks jobs in North Carolina?

For Azure Databricks jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Azure Databricks jobs in North Carolina look for?

The top searched job categories for Azure Databricks jobs in North Carolina are:

What cities in North Carolina are hiring for Azure Databricks jobs?

Cities in North Carolina with the most Azure Databricks job openings:

Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in North Carolina as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $110,398 per year, or $53.1 per hour.

Senior Azure Data Engineer - Capital Markets Data Platform 3641512

Axiom Path

Charlotte, NC • On-site

$70 - $77/hr

Full-time

Re-posted 6 days ago

Job description

Be Part Of A High-Performing Team:

Join a global financial technology organization modernizing the data capabilities that support broker-dealer and capital markets operations. This team is developing a strategic, cloud-based data platform designed to improve how securities, pricing, reference, and market data are governed and consumed across the enterprise. The environment brings together experienced engineers and financial technology professionals working across the United States and India, with a strong emphasis on collaboration, scalable architecture, disciplined development standards, and data-driven innovation.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a long-term hybrid consulting opportunity based in Charlotte, North Carolina. The role provides direct involvement in a large-scale digital transformation and the development of an enterprise data platform on Microsoft Azure. The selected engineer will gain exposure to complex capital markets data, modern cloud engineering practices, distributed development teams, and strategic initiatives with significant organizational visibility.

How You Will Make An Impact:

  • Design, develop, and enhance a strategic enterprise data platform supporting capital markets and securities operations.
  • Build scalable data pipelines and processing solutions using Python, PySpark, Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2.
  • Support the initial implementation of securities reference data and pricing data capabilities before expanding the platform into additional data domains.
  • Develop Python-based APIs using FastAPI or comparable frameworks to make trusted data available to downstream applications and consumers.
  • Integrate Azure databases, API management, Azure Functions, and related services into reliable end-to-end data solutions.
  • Apply strong SQL and data modeling expertise across relational and NoSQL database environments.
  • Contribute to CI/CD pipelines, version control, automated deployments, and established enterprise development standards.
  • Collaborate with technology and business stakeholders across Charlotte, Jersey City, and India to deliver consistent, production-ready solutions.

Do You Bring Proven Success in Azure Data Engineering and Python Development?

  • 10 or more years of relevant software development or data engineering experience.
  • Advanced hands-on development experience with Python and PySpark.
  • Proven experience designing and implementing enterprise data solutions in Microsoft Azure.
  • Strong working knowledge of Azure Data Factory, Azure Data Lake Storage Gen2, Azure Databricks, Azure databases, and Azure Functions.
  • Experience with Microsoft Fabric or comparable modern cloud data platform capabilities.
  • Experience developing REST APIs using FastAPI or a similar Python framework.
  • Strong SQL expertise with relational database management systems and/or NoSQL databases.
  • Solid understanding of ETL and ELT architecture, data integration, data transformation, and production data pipelines.
  • Familiarity with API gateway and API management capabilities.
  • Experience with Git, Jenkins, CI/CD processes, and the broader DevOps lifecycle.
  • Ability to follow enterprise engineering standards and collaborate effectively across distributed teams.
  • Financial services experience is preferred, particularly involving capital markets, financial instruments, asset classes, securities reference data, pricing data, or market data.